Reduced rank linear regression and weighted low rank approximations.
Karl WernerMagnus JanssonPublished in: IEEE Trans. Signal Process. (2006)
Keyphrases
- linear regression
- low rank approximation
- singular value decomposition
- least squares
- subspace learning
- low rank
- spectral clustering
- regression problems
- nonnegative matrix factorization
- iterative algorithms
- kernel matrix
- data dependent
- latent semantic indexing
- dimensionality reduction
- adjacency matrix
- reconstruction error
- decision trees
- bit rate
- pairwise